Sensor Fault Diagnosis Method Based on Support Vector Regression

DOI

10.2991/iccasm.2012.120How to use a DOI?

Keywords

Support Vector Regression, Sensor, Fault Diagnosis system

Abstract

This article design a sensor fault diagnosis system base on Support Vector Regression. SVR is trained out of line, and used online. After being trained, SVR is used to simulate dynamic characteristic of diesel engine temperaturecontrolling system. The simulation result shows that, SVR can simulate the system more accurately, track the output signal of sensor, and diagnose the sensor system.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianhao Shen
PY  - 2012/08
DA  - 2012/08
TI  - Sensor Fault Diagnosis Method Based on Support Vector Regression
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 473
EP  - 475
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.120
DO  - 10.2991/iccasm.2012.120
ID  - Shen2012/08
ER  -